CN101203875A - Adjusting an advertising cost, such as a per-ad impression cost, using a likelihood that the ad will be sensed or perceived by users - Google Patents

Adjusting an advertising cost, such as a per-ad impression cost, using a likelihood that the ad will be sensed or perceived by users Download PDF

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Publication number
CN101203875A
CN101203875A CNA2005800499305A CN200580049930A CN101203875A CN 101203875 A CN101203875 A CN 101203875A CN A2005800499305 A CNA2005800499305 A CN A2005800499305A CN 200580049930 A CN200580049930 A CN 200580049930A CN 101203875 A CN101203875 A CN 101203875A
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advertisement
document
information
user
implemented method
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布赖恩·阿克塞
格雷戈里·约瑟夫·巴德罗斯
拉马·纳塔拉斯
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Google LLC
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0249Advertisements based upon budgets or funds
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0273Determination of fees for advertising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0253During e-commerce, i.e. online transactions

Abstract

A price paid for an ad impression may be adjusted using an estimated probability that the ad will be viewed, or otherwise perceived or sensed, or using one or more factors which may be used to estimate such a probability. The price and/or probability may be adjusted using events occurring after the impression of the ad.

Description

Utilize advertisement to be discovered or the possibility of perception is come the adjustment expense, for example the expense of every advertisement presentation by the user
Technical field
The application relates to advertising, as online advertising.Especially, the present invention relates to improve how to determine advertising expenditure, as expense by advertisement presentation (impression).
Background technology
The advertising of traditional media such as use such as TV, broadcasting, newspaper and magazine is well-known.Regrettably, even used the demographic studies data and supposed that about the rational fully of each medium typical audience the advertiser finds that still a large amount of advertising budgets is waste purely.And, discern and eliminate this waste and also be difficult to.
Recently, become universal via the advertising of interactive media more.For example, along with the number of using the Internet is increased sharply, the advertiser begins to recognize that the medium and the service that provide via the Internet become potential strong advertising.
Interactively advertisement provides chance to the advertiser, makes them can throw in those glad audients who receives as target their advertisement.That is, there is the advertisement of target more likely useful, because these advertisements relevant with the demand of being inferred according to certain user's activity (for example, relevant with the user, relevant with the content in the document of user request etc.) to the search inquiry of search engine to the final user.Search engine is using searching keyword to determine that target is to send relevant advertisement.General headquarters are positioned at the AdWords ad system of the Google (Google) in California, USA Mountain View city, are that target is come delivering advertisements by the keyword in the inquiry inquiry.Similarly, having proposed with the content is the ad delivery system of target.For example, submit on Dec 6th, 2002, the invention people be Jeffrey A.Dean, Georges R.Hank and Paul Buchheit, name to be called " METHODS AND APPARATUS SERVINGRELEVANT ADVERTISEMENTS ", sequence number be 10/314,427 U.S. Patent application (" 427 apply for " incorporated herein for your guidance and be called to its content by reference into); And submit in February in 2003 26, the invention people be Darrell Anderson, Paul Buchheit AlexCarobus, Claire Cui, Jeffrey A.Dean, Georges R.Harik, Deepak Jindal and Narayanan Shivakumar, name is called " SERVING ADVERTISEMENTSBASED ON CONTENT " sequence number is that 10/375,900 U.S. Patent application (" 900 apply for " incorporated for your guidance and be called to its content by reference into) has all been described the method and apparatus that the document content that is relevant to such as webpage provides advertisement.Such as the AdSense ad system of Google is that the ad delivery system of target has been used for providing advertisement with the content on webpage.
From the above, be relevant to text concept in the text document and advertisement be provided and be relevant to keyword in the search inquiry that advertisement is provided is useful, roughly meet active user's interest because of this advertisement.Therefore, such online advertisement becomes and becomes more and more popular.And, use other targets to determine that the advertisement of technology and aimless online advertisement have become and become more and more popular.But still there is room for improvement in such ad system.
For example, usually need human to judge to determine to by the paying price of advertisement presentation (as the possibility that usually may arrive the expectation audient) based on the audient's who attracted to certain website type and this advertisement.Usually, being worth by the advertisement presentation that ceiling price is paid is that those are considered to most possibly to be defined as the advertisement presentation that the audient of target sees by the advertiser.For example, the many contract requirement (CR) advertisements between advertiser and the web publisher are provided with on the computing machine of (as 640 * 690 or 800 * 600 etc.) screen position that can be seen by the user at influential position (above the fold) or in the standard screen size.Especially, the ad system that is used for big publisher is the such advertiser's " channel " of definition usually, and these channels or belong to " critical positions " marked price class of (A) high price perhaps belong to (B) " backseat " marked price class at a low price." backseat " marked price class or be meant under critical positions, perhaps being meant may be not and the mutual page (as the website log page) of advertisement the user.Usually, when the advertiser buys location advertising from big publisher, can show advertisement with the position that occurs to them, and sell and instruct department to come negotiated price according to the price list of being checked.In working as under the precondition of prior art, replace web publisher the position to be categorized into " well " and " generally " channel by personnel, and replace the advertiser to judge and negotiated price by personnel.Therefore, the advertiser need and specify different prices to different channel negotiations.
Above-mentioned have several shortcomings by the advertisement convention that manifests paying.The first and since simple defining two the very wide channels or the classification (" well " and " generally ") of location advertising, " well " marked price sector of breakdown may comprise the position of some " generally ", vice versa.The second, the advertiser must check each website assiduously and arduous negotiation work is carried out in each website, may set paying price to advertisement presentation to each position.This human get involved and be difficult to expand to by the channel price make and buy the shown advertisement putting point in catenet website (as 1000 to 2000 websites, the mean size of more current networks is 100 to 200 websites) by every impression prices.
For fear of this scaling concern, many macroreticulars are according to paying per click sale advertising.Regrettably, the advertisement that pays per click can not be satisfied so-called " brand " advertiser's demand, they may will allow message known (for example, " Watch Alias.Now on Wed.nights on ABC ", or " Diet Pepsi-Light! exactly under the situation that need not to click ")
In view of the problem in the above-mentioned existing advertisement practice,, improve advertisement as being useful by what manifest paid advertisement particularly by the problem that manifests in the paid advertisement practice.
Summary of the invention
Use advertisement with possibility viewed or perceived or that discover with the corresponding to embodiment of the present invention by other modes, or use this possibility based on one or more factors, adjust the paying price of advertisement presentation.Described paying price, possibility and/or factor are adjusted in event after can using this advertisement presentation.
Description of drawings
Fig. 1 illustrates and the mutual each side of ad system or the diagram of each entity.
Fig. 2 illustrates the environment that the environment that can move therein with the corresponding to embodiment of the present invention maybe can utilize it to move.
Fig. 3 is the data flow diagram according to the exemplary operation of carrying out with the corresponding to mode of the present invention, and these information that manipulate and/or that produce.
Fig. 4 is by being used for determining the process flow diagram of the illustrative methods of the estimation of advertisement presentation correlation and corresponding adjustment advertisement presentation expense with the corresponding to mode of the present invention.
Fig. 5 be by with the corresponding to mode of the present invention be used for determining the advertisement presentation correlation can based at least one factor and the process flow diagram of the illustrative methods of corresponding adjustment advertisement presentation expense.
Fig. 6 is by being used to carry out some operation at least and storing the block diagram of the equipment of some information at least with the corresponding to mode of the present invention.
Fig. 7 A~7C shows how to utilize every impression costs that three advertisements that provide on the webpage are provided with the corresponding to illustrative methods of the present invention.
Embodiment
The present invention relates to be used to improve novel method, equipment, message format and/or the data structure of how determining such as the advertising expenditure that whenever manifests advertising expenditure.Following explanation is provided, makes those skilled in the art can implement and use the present invention, and these explanations are provided under the environment of application-specific and corresponding demand.Therefore, the following explanation with the corresponding to embodiment of the present invention provides example and description, rather than is intended to limit or the present invention is limited to particular forms disclosed.To those skilled in the art, be conspicuous to the various modifications of the disclosed embodiments, and General Principle described below can be applicable to other embodiment and application.For example, although with reference to flow chart description a series of actions, in other embodiments, when the execution of an action does not rely on finishing of another action, the order of these actions can be different.In addition, not complementary action can executed in parallel.In instructions, it is crucial or necessary not having which key element, operation or instruction should be interpreted as the present invention, unless clear and definite so explanation.Equally, as used herein, the item that does not have the quantity qualification is meant and comprises an item or a plurality of item.When only representing an item, use term " " or similar language.Thereby, the invention is not restricted to shown each embodiment, and the inventor thinks that its invention comprises the theme of described any patentability.
Below, the definition of various terms as used in this specification is provided at § 1.Then, the environment that the present invention can operate therein or use is described in § 2.Then, exemplary embodiment of the present invention is described in § 3.The specific examples of the beneficial effect of the example that the embodiment of the invention is shown is provided in § 4 then.At last, in § 5, illustrate about some conclusion of the present invention.
§ 1 definition
Online advertisement can have various inherent features.This feature can be by using and/or advertiser's regulation.These features are called as " characteristic of advertisement " hereinafter.For example, for the situation of text advertisements, characteristic of advertisement can comprise header line, advertisement text, inline linking etc.For the situation of image ad, characteristic of advertisement can comprise in addition that image, executable code are connected etc. with embedded.The type that depends on online advertisement, characteristic of advertisement can comprise following one or more: text, link, audio file, video file, image file, executable code, embedding information etc.
When carrying out online advertisement when service, one or more parameters can be used for how, when describing and/or carry out advertising service where.These parameters are called as " service parameter " hereinafter.Service parameter can comprise for example one or more following contents: be used for or carry out the feature (comprising information) of the page of advertising service thereon, the search inquiry or the Search Results that are associated with this advertising service, user characteristics (for example, their geographic position, the language that this user uses, the browser type of use, previous page browsing, previous behavior, user account, the web cookie that this system uses, user device characteristics etc.), (for example send the master of request or attached website, America Online, Google, Yahoo), carry out the absolute position of advertisement on the page of advertising service on it, with respect to the position (space or time) of other service advertisement, the absolute dimension of advertisement, advertisement is with respect to the size of other advertisement, the color of advertisement, the quantity of other advertisements of being served, the type of other advertisements of being served, the Time of Day of service, the time-of-week of service, the year of service etc.Certainly, also can use other parameters within the scope of the invention.
Though service parameter is external for characteristic of advertisement, service parameter can be associated as conditions of service or constraint with advertisement.When as conditions of service or constraint, this service parameter simply is called " service constraints " (or " target criterion ").For example, in some system, the advertisement that the advertiser can stipulate it only on weekdays (Mon-Fri) provide, be not less than definite position, only towards the user of locality etc., determine the target of advertising service with this.As another example, in some system, the advertiser can specify has only the advertisement that it just is provided when the page or search inquiry comprise specific keyword or phrase.As other again example, in some system, the advertiser can stipulate, only works as the document that is provided when comprising specific proposition or notion, or when falling into specific cluster or a plurality of cluster or some other classification or a plurality of classification, just carries out its advertising service.In some system, the advertiser can stipulate that its advertisement only offers the subscriber equipment that (or not offering) has special characteristic.At last, in some system, can determine the target of advertisement, make in response to providing advertisement from the request of ad-hoc location or in response to the request of relevant ad-hoc location.
" advertising message " can comprise any combination of the expansion information of ad related information derivation (for example, from) of characteristic of advertisement, advertising service constraint, the information (being called as " advertisement derived information ") that can derive from characteristic of advertisement or advertising service constraint and/or the information (be called as " ad related information ") relevant with advertisement and these information.
The ratio that manifests number of times (being the number of times that advertisement is represented) of the selection number of times (clicks) of advertisement and advertisement is defined by " selection rate " (or " clicking rate ") of advertisement.
When the user is provided by the relevant transaction of the advertisement that provides with previous institute, then be called generation " conversion (conversion) ".Which content constitutes transforms because of situation is different, and can determine according to different modes.For example, can be this situation, be called as the user in the advertisement of advertiser's page and clicking, and before leaving this page, finishing purchase, then transform.As an alternative, conversion can be defined by such user, to this user showed advertisement and this user in the given time (as 7 days) on this advertiser's the page, buy.As another replacement, can become transformation definition any observation/measurable action of user by the advertiser, for example, download white single (white paper), navigate to the given depth at least of this website, checked the webpage of specific quantity at least, on website or webpage, spent the time of scheduled volume at least, sign in to the website, or the like.Usually, if user action is not pointed out the purchase finished, it may indicate the guiding of selling, and constitutes the user action that transforms and is not limited thereto.In fact, which can constitute conversion about, other definition also can be arranged.
The ratio of turn over number and advertisement presentation number (being the number of times that advertisement is demonstrated) is known as " conversion ratio ".Be defined by and may have taken place in the schedule time since advertisement is provided if transform, a kind of may the definition of conversion ratio can only consider to provide in the past the advertisement that surpasses pre-determined number.
" document (document) " can broadly be interpreted as comprising machine readable and the storable work product of machine.Document can be file (file), file combination, have to one or more files of the inline linking of alternative document etc.File can be an any kind, such as text, audio frequency, image, video etc.Represent " content " that can be counted as document to final user's documentation section.Document can comprise " structured data ", includes certain indication (as e-mail fields and the data, the HTML mark that are associated and the data that are associated etc.) of content (literal, picture etc.) and the content meaning.Advertisement putting point in document can define by embedding information or instruction.Under internet environment, common document is the Web page.The Web page usually comprises content and can comprise the information (such as metamessage, hyperlink etc.) of embedding and/or the instruction that embeds (such as javascript etc.).Under many situations, document has addressable memory location and can come unique identification by this addressable point.URL(uniform resource locator) (URL) is the message address that is used on the access the Internet.
Any information that " document information " can comprise in the document being comprised, the information (being called as " document derived information ") that included information derives from document, and/or the information relevant (being called as " document related information ") with document, and the expansion of these information (for example, the information that derives from relevant information).The example of document derived information is the classification based on content of text of document.The example of document related information comprises from the document information with other document that links to current document, and from the document information of other document that current document was linked to.
Content from certain document can be presented on certain " content presents application program or equipment ", content presents application program and comprises that explorer is (as Explorer or Netscape, Opera, Firefox etc.), media player (for example, the MP3 player, Realnetworks streaming audio file player etc.), browser (for example Abobe Acrobat PDF reader) etc.
" content owner " is individual or the mechanism that content in the document is had certain proprietary.Content owner can be the author of content.In addition, or as an alternative, content owner can have the right of reproducting content, prepares the right of the derived product of this content, openly demonstrates or carry out the right of this content, and/or other proscribed rights of this content.Content service provider can be the content owner of its content that provides, but also not necessarily." web publisher " is content owner's example.
" discover " and can refer under the threshold value of consciousness sensation (subconsciousness) reception information and know the information (" perception ") one of them or the two that is received.
" user profile " can comprise user behavior information and/or user profiles (prorile) information.
The expansion of the information that " Email Information " can comprise any information (being also referred to as " internal electron e-mail messages ") of being included in the Email, included information derives from this Email and/or the information relevant and these information (as information) from the relevant information derivation with this Email.The example of the information that derives from Email Information is information of extracting or the information that otherwise derives from Search Results, and this Search Results is in response to that search inquiry returns, and this search inquiry is made up of the vocabulary that extracts from E-mail subject is capable.The information relevant with Email Information comprises the Email Information of relevant one or more other Emails that same sender sent by given Email, or relevant Email recipient's user profile.Can be called " external e-mail information " from the information of Email Information derivation or associated information.
The example ad environment that § 2 the present invention can move therein or utilize
Fig. 1 is a kind of high level schematic diagram of advertising environments.This environment can comprise advertisement input, maintenance and delivery system (being called Advertisement Server simply) 120.Advertiser 110 can import directly or indirectly, the advertising message in maintenance and the tracker 120.Advertisement can be adopted the graphical advertisement form, such as so-called banner (banner) advertisement, only advertisement, image ad, audio advertisement, the video ads of text, one or more advertisement of any this constituents of combination etc. arranged.Advertisement may also comprise embedding information, such as link and/or machine-executable instruction.Ad consumer 130 can be submitted ad-request to, provide use information from system's 120 receptions to the ad response of their request and to system 120 to system 120.Other entities outside the ad consumer 130 can send the request to advertisement.Though not shown, other entity may provide use information (for example, whether the conversion of relevant this advertisement or selection take place) to system 120.Measured or the observed user behavior relevant with providing advertisement can be provided these use information.
Advertisement Server 120 can be similar to described in 900 applications.Advertising plan can comprise about account, activity, intention, target information such as determines.Term " account (account) " is meant the information that is used for given advertiser (for example, unique e-mail address, password, charge information etc.)." movable (campaign) " or " advertising campaign " are meant one or more groups of one or more advertisements, and can comprise Start Date, Close Date, budget information, geographically targeted information, syndication information etc.For example, Honda company can have an advertising campaign to be used for its automotive line, and mutually independently advertising campaign be used for its motor fare.The activity that is used for its automotive line can have one or more advertisement groups, and each group comprises one or more advertisements.Each advertisement group can comprise target information (for example, keyword set, the set of one or more themes), and paying pricing information (for example expense, average cost, costs on the higher scale (whenever manifest, every selection, revolutionization)).Therefore, single expense, single costs on the higher scale and/or single average cost gram are associated with one or more keywords and/or theme.As described, each advertisement group can have one or more advertisements or " intention " (promptly representing the ad content to the final user at last).Each advertisement also can comprise link to URL (as the landing page, as advertiser's homepage, or the webpage that is associated with specific products or service).Nature, advertising message can comprise information more or less, and can organize by different ways.
Fig. 2 shows and can use environment 200 of the present invention therein.Subscriber equipment (being also referred to as " client " or " client device ") 250 may comprise that the browser facility is (such as the Explorer browser of Microsoft, the Opera Web Broswer of the opera software company of Norway, the Navigator browser of AOL/Time Warner etc.), e-mail (for example, the Outlook of Microsoft) etc.Search engine 220 can allow user's set 250 search collections of documents (for example, webpage).Content server 210 can allow user's set 250 access document.E-mail server (such as Hotmail, the Yahoo Mail etc. of Microsoft Network) 240 can be used for providing e-mail function to user's set 250.Advertisement Server 210 can be used for providing advertisement to user's set 250.Can provide advertisement explicitly with the Search Results that provides by search engine 220.Yet the Email that content that can provide with content server 230 and/or e-mail server 240 and/or subscriber equipment Email facility provide provides content relevant advertisement explicitly.
As discussing in 900 applications, can come advertisement delivery to the document that content server provided as target.Thereby an example of ad consumer 130 is general content servers 230, and this content server 230 receives document (for example, article, discuss and paste music, video, figure, Search Results, web page listings etc.) request, and respond this request or other services and retrieve the document of being asked clearly.Content server can be to the request of Advertisement Server 120/210 submission to advertisement.This ad-request can comprise some desired advertisements.Ad-request may also comprise document request information.These information can comprise: document itself (for example, the page), corresponding to the classification of document content or document request or theme (for example, art, commerce, computing machine, art film, arts-music etc.), some or all document request, content age, content type (for example, text, figure, video, audio frequency, mixed-media etc.), geographical location information, document information etc.
Content server 230 can be combined one or more advertisements that the document of being asked and Advertisement Server 120/210 are provided.To comprise that then this combined information of document content and advertisement is transmitted to the end-user device 250 of request the document, is used for presenting to the user.At last, content server 230 can about advertisement and how, when and/or the information (for example, whether the position is selected, and presentation time manifests the date, and whether size transforms etc.) that presents advertisement where send back to Advertisement Server 120/210.As an alternative or additional, can this information be provided by other means and turn back to Advertisement Server 120/210.
The other example of ad consumer 130 is search engines 220.Search engine 220 can receive inquiry and be used for Search Results.In response, search engine can retrieve relevant search results the index of webpage (for example, from).A kind of exemplary search engine is that article " TheAnatomy of a Large-Scale Hypertextual Search Engine " and the sequence number of S.Brin and L.Page is 6 on the 7th international web-seminar of Australian Brisbane, describe (both contents being incorporated into for your guidance) in 285,999 the United States Patent (USP) at this.The text extract that this Search Results for example comprises the tabulation of web page title, extract from these webpages and to the hypertext link of these webpages, and Search Results can divide into groups every group of predetermined number (for example ten).
Search engine 220 can be submitted ad-request to Advertisement Server 120/210.Request can comprise some required advertisements.The size of screen amount that the quantity of required advertisement can be depending on Search Results, taken by Search Results or page space, advertisement and shape etc.In one embodiment, the number of required advertisement is in one to ten scope, and preferably three to five.To the request of advertisement also can comprise inquiry (as through input or through syntactic analysis), based on information inquiring (such as geographical location information, whether inquiry is from the identifier of cum rights and this cum rights), and/or relevant with Search Results or based on the information of Search Results.This information for example (for example can comprise the identifier relevant with Search Results, document identifier or " docIDs "), the scoring relevant with Search Results (for example, marked page rank scores such as the information retrieval (IR) corresponding to the dot product of the inquiry and the proper vector of document, and/or the combination of IR scoring and page rank scores), from the text extract that identification document (for example, webpage) extracts, the full text of the document of discerning, the theme of the document of discerning, the proper vector of the document of discerning etc.
Search engine 220 can Search Results and the one or more advertisements that provided by Advertisement Server 120/210 be provided.This combined information that comprises Search Results and advertisement is transmitted to the user who submits this search to then, is used to present to this user.Preferably, keep Search Results and distinguish mutually, avoid making the user can not distinguish paid advertisement and neutral Search Results with advertisement.
Search engine 220 can relevant advertisement and when, where and/or how the information (for example, whether the position is selected, and presentation time manifests the date, and whether size transforms etc.) of showing advertisements send back to Advertisement Server 120/210.As an alternative or additional, can provide back Advertisement Server 120/210 with this information by other means.
At last, usually, e-mail server 240 can be considered to content server, and wherein the document that is provided is exactly an Email.Further, email application (such as Microsoft Outlook) can be used for sending and/or the reception Email.Therefore, e-mail server 240 or application program can be considered to ad consumer 130.Thereby Email can be considered to document, and can provide the advertisement of targeted with this document explicitly.For example, can among the Email, under, on advertisement is provided, perhaps provide advertisement explicitly with Email by other means.
Though above-mentioned example has been described by server (i) request advertisement and (ii) combined advertisements and content, one or two of these operations can be carried out by client device (such as final user's computing machine).
§ 3 exemplary embodiments
Fig. 3 is the data flow diagram of the exemplary operation that is used to the expense of adjusting carried out according to mode according to the invention, and produce by these operations and/or by these information of manipulating.Expense determine operation 340 can be used for utilizing (a) user perception probability factor 320 and/or (b) user's perception estimate that (will be watched by the user or the possibility of perception otherwise as advertisement) determine or be adjusted into the price 350 of advertisement presentation payment, user's perception is estimated to estimate to determine that by user's perception operation 330 produces.For example, seen by the user because the advertisement that the advertisement putting point at the top of webpage provides is easier, concerning the advertiser, such advertisement presentation is just more valuable than manifesting of the advertisement that advertisement putting point provides of webpage bottom, especially originally cannot see, has only under situation about just can see during the roll screen curtain under the user when the bottom of webpage.As other example, advertisement that the advertisement putting point of content (temporarily shielding at least) provides is easier to be seen by the user owing to block on webpage, concerning the advertiser, such advertisement presentation is just than more valuable away from manifesting of the advertisement that advertisement putting point provides of main contents on the webpage.Also has other example, than blog web page, the user more is likely to scroll down to the webpage bottom on product review web page, therefore, than the advertisement that the advertisement putting point in the blog web page bottom provides, the advertisement that the advertisement putting point in the product review web page bottom provides more may be seen by the user.Like this, concerning the advertiser, more valuable than the advertisement presentation of blog web page bottom in the advertisement presentation of product review web page bottom.
Can use user's perception to estimate to carry out the expense adjustment, or use the one or more factors 320 that can be used for determining this estimation.These factors comprise following one or more: advertising message (for example, such as plain text, animation, audio frequency, video, the adline of image etc., advertisement size, the advertisement font size, advertisement color etc.), customer equipment information is (as browser type and version, screen size, display resolution, speaker volume, quiet opening/close, user input apparatus etc.), document information is (as Doctype, document size, the document age, the ratio of the relative content space of the advertisement putting space of points, user residence time etc.), the advertising service parameter, advertisement putting dot information (the absolute and relative position of advertisement putting point, selection rate by advertisement putting point, mouse-over by advertisement putting point, mouse-over by advertisement putting point, the propinquity of advertisement putting point and document content, advertisement putting point blocks document content, advertisement putting point is sheltered document content, the contiguous content of advertisement putting point, and the advertisement putting point separates with content, the advertisement putting point be embedded among the content (as by content around), advertisement putting point partly or entirely blocks or shelters content (or other advertisements), and advertisement putting point is partly or entirely blocked or sheltered by content (or other advertisements), and end user information is (as user's mouse-over information, the user advertising click information, user's information residence time, user's roll screen information, eyes of user mobile message etc.), enquiry data, focal group's data, reading rate data (determining as utilizing cookie) if its someone who has represented advertisement has been visited afterwards the website of mentioning or the webpage of advertisement.Therefore, user's perception probability factor 320 can comprise that information provides the advertisement will be by some indication of user's perception (as watching).
Can by user, class of user type, by document, by Doctype, by advertisement (or advertisement putting point) and/or by advertisement (or advertisement putting point) follow the tracks of, storage and/or user application perception probability factor.
Advertising message 310 can comprise following one or more: quotation information (as by manifest, by select, by the price, average price or the ceiling price that transform), target information, performance information (selection rate, conversion ratio etc.), or the like.
User's perception estimate to determine that operation 330 can be from user's perception probability factor 320 acquired informations, and use this information according to advertisement with viewed, perception or determine the relative worth estimation of advertisement presentation with the possibility (probability) that other certain modes are discovered.Such estimation can be used for expense and determines operation 340, and this operation can use this to estimate to adjust advertisement presentation price 350.As an alternative or as additional, expense determines that operation 340 can be used user's perception probability factor 320 one or morely comes re-set price.
§ 3.1 exemplary methods
Fig. 4 is the process flow diagram of the illustrative methods 400 of estimation that is used for determining the advertisement presentation relative worth according to the invention and corresponding adjustment advertisement presentation expense.
Especially, the estimation (frame 410) of the relative worth of advertisement presentation can be determined or receive to method 400.In case determine or receive described estimation, method 400 can be used this price of estimating to adjust advertisement presentation (frame 420) before leaving method 400 (node 430).Therefore, method 400 can be adjusted (improve or reduce) charge to advertisement presentation according to estimated advertisement relative worth (as the probability of being watched and discovering by the user).This can be used for releasing from advertisement is mainly specified different every impression prices to different advertisement putting points (or different channels) needs.
Referring to frame 410, determine that the action of estimation (relatively) value of advertisement presentation can comprise that whether this advertisement of estimation is with in sight or perception again.As discussing among the top § 3, determine that whether advertisement is with the responsible some factors of the action of in sight or perception.Especially, in these factors some can comprise: the position of advertisement presentation on webpage, whether advertisement is presented in initial visible position on the webpage, the possibility of browser roll screen (this dependence represents browser type, user's roll screen history and/or the scrolling of document history of this advertisement), or the like.
Referring to frame 420, the estimation adjustment that method 400 can use (relatively) of determined advertisement presentation to be worth will be paid the price of advertisement presentation.Understand from above-mentioned, the price of adjustment is relevant to advertisement with in sight and possibility that discover.For example, the eye-catcher that is presented in the initial visible part of webpage can be by price in full, and the unshowy advertisement that is presented in the initial invisible part of webpage (only when user's roll screen as seen) can be fixed a price by the discounting of usefulness in full.
Fig. 5 is the process flow diagram that at least one user's perception factor of use according to the invention is adjusted the illustrative methods 500 of advertisement presentation expense.
Especially, method 500 can receive or definite advertisement presentation relative worth can based at least one factor (frame 510).Then, before leaving method 500 (node 530), method 500 utilizes described factor adjustment to be used for the price of advertisement presentation (frame 520).Therefore, method 500 makes ad system to use to influence one or more factors of advertisement presentation relative worth to adjust the paying price to advertisement presentation.This can be used for the releasing from advertisement master specifies different every impression prices to different advertisement putting points (or different channels) needs.
Again referring to frame 510, influence advertisement whether will to be seen/factor of perception can be included in those factors of discussing with reference to figure 3 among the top § 3.These factors can come to determine differently.
Again referring to frame 520, method 500 can be used at frame 510 and receive or the described factor determined is adjusted paying price to advertisement presentation.And, to understand from above-mentioned, the price of being adjusted can be associated with the factor of the possibility of the in sight or perception of this advertisement of indication.For example, the eye-catcher that is presented in the initial visible part of webpage can be by price in full, and the unshowy advertisement that is presented in the initial invisible part of webpage (only when user's roll screen as seen) can be fixed a price by the discounting of usefulness in full.
§ 3.2 exemplary apparatus
Fig. 6 is a high level block diagram of carrying out the machine 600 of one or more aforesaid operations.Machine 600 consists essentially of one or more processors 610, one or more input/output interfaces unit 630, one or more memory storages 620, and one or more system bus and/or network 640 be used to realize the information communication between each element of being coupled.One or more input medias 632 and one or more output unit 634 can be coupled with one or more input/output interfaces 530.
One or more processor 610 executable machine executable instructions (as operate in C or C++ program on solaris operating system or the (SuSE) Linux OS, solaris operating system can obtain in the Sun Microsystems company in California, USA Palo Alto city from general headquarters, (SuSE) Linux OS can be widely obtains from a plurality of manufacturers, such as that the Red Hat company in Durham city of North Carolina) to carry out one or more aspect of the present invention.Can (temporarily or for good and all) be stored on one or more memory storages 620 and/or can receive from external source to the small part machine-executable instruction via one or more input interface units 630.
In one embodiment, machine 600 can be the personal computer of one or more routines.In this case, processing unit 610 can be one or more microprocessors.Bus 640 can comprise system bus.Memory storage 620 can comprise system storage, such as ROM (read-only memory) (ROM) and/or random-access memory (ram).Memory storage 620 may also comprise the hard disk drive that is used to read and write hard disk, read and write the disc driver of (for example, removable) disk and read and write such as CD or other (magnetic) optical medium CD drive of (magnetic) CD movably.
The user passes through input media 632 to personal computer input command and information, the sharp indicating device (for example mouse) of input media such as keyboard.Also can (or alternatively) comprise such as other input medias such as microphone, joystick, cribbage-board, satellite dish, scanners.These and other input media usually is connected to processing unit 610 by the suitable interface 630 that is coupled to system bus 640.Output unit 634 may comprise monitor or other types display device, and they also can be connected to system bus 640 via suitable interface.Except (or replacement) monitor, personal computer may comprise other (periphery) output unit (not shown), such as loudspeaker and printer.
Refer again to Fig. 2, one or more machines 600 can be used as final user's client terminal device 250, content server 230, search engine 220, e-mail server 240, and/or Advertisement Server 210.
§ 3.3 improves and replaces
But this system also data of end user's class definition helps definite adjustment paying price to advertisement presentation.For example, but the data of the end user of this system class definition, can be described as the website of eye-catcher and location advertising " (premium) at high price ", and website and location advertising with not showy advertisement of low user interactions are described as " (run ofsite) rotates " with high user interactions.For example, all " at high price " positions of human definable are not at log in page or chat page or leaf.In this case, not by the full price charge as in a log in page or a chat page advertisement that represents in " at high price " position.
According to manifest the actual information, historical information, research (as the market share, user interactions etc.) and/or the investigation information that are associated and wait to determine user's perception probability factor.Like this, for example, client terminal device information can relate to its actual device that particular advertisement is provided (as 21 inches monitors, 768 * 1024 pixel resolutions, 4.0 versions of operation Microsoft Explorer), or from the investigation or client terminal device (15 inches monitors as about 50%, 17 inches monitors of about 20%, 19 inches monitors of about 16% of historical data, about 85% Explorer browser, about 8% netscape browser, about 5% Firefox browser, be rolled into the bottom under the webpage of 78% time specific (type) ..., etc.).As other example, relevant advertisements (release position) position can be determined by server application.For example, server can be according to the representing engine and various screen settings come displaying web page of the most popular browser, and the various combinations (as Internet Explorer and 800 * 600) that browser and screen are provided with are determined whether advertisement is presented at the initial screen top (user does not need roll screen) of webpage.Marketing data and screen setting about the browser market share can be used for determining for the percentage of time of typical case's (or given type) user advertising at the initial visible part of webpage.Such number percent can be used as user's perception probability factor.
In some embodiment according to the invention at least, can use the Java code that is used for asking I frame (I-frame is for example referring to 900 applications) to determine the position of advertisement on the webpage (or advertisement putting point).
Type of webpage (as publisher's form and theme) also is useful.For example, each webpage or publisher can use different forms, and at least wherein some have quite predictable user interaction model.Can detect these forms and use interaction models to determine that advertisement presentation will be by the possibility of user's perception.For example, unlikely being seen by the user or otherwise perception of advertisement putting point bottom blog web page.On the other hand, just seen by the user easily or otherwise perception at the advertisement putting point of product review web page bottom.As other example, the advertisement meeting of showing in news web page (as the New York Times) bottom seen by all people that read whole article, and this system can use the investigation information of collection and behavioral data to estimate to read user's number percent of the article of this webpage end.Therefore, this system can use type of webpage and user interaction model to determine the possibility that advertisement will be seen by the final user.Can be used for relative worth that different web pages type estimating ad is manifested like this, again.
The example of document (as webpage) type that can the modeling user interactions comprises: business to business (B2B) ﹠amp; Special industry, business to consumer (B2C) ﹠amp; Online retailer, Bo Ke ﹠amp; Daily record, Liu Lanqi ﹠amp; Media player, chat ﹠amp; Forum, Cheng Shizhinan ﹠amp; Local information, classification ﹠amp; Tabulation, Mu Lu ﹠amp; Reference, the field channel is downloaded ﹠amp; Set of links, fan's Zhan Dian ﹠amp; Proposition community, expert's website, FAQ﹠amp; Technical information, recreation ﹠amp; Interaction, Zhu Ye ﹠amp; Landing page, picture compiles, login ﹠amp; Site information (publisher's quality), news content, Xiao Shengjing ﹠amp; Special-purpose door, online magazine, other, About You, Men Hu ﹠amp; ISP, Chan Pinpinglun ﹠amp; Consumer information, Rich Media's (audio/video), search, social networks and waste advertisements.
In addition, use special browser or javascript to come to collect the possibility that the roll screen data help also to determine that advertisement will be seen by the user from sample of users.Particular Web page can portraying by this sample of users and this webpage alternately.As an alternative or additional, certain web page type can be portrayed alternately by the webpage of this sample of users and general format.As an alternative or additional, one or more other group of web (as by the field, by the content author, by the content proposition etc.) can by this sample of users and intersection of sets portray mutually.The roll screen data can comprise relevant to the frequency and the number of times that roll and descend to roll on website (or by website form or type, or by the website group) or the webpage by the user.Therefore, server can use this roll screen data to help to determine in the advertisement of advertisement putting point (as sightless advertisement putting point on the screen originally) for given final user and/or can descried possibility for given webpage.
Also can use the selection history of (as clicking).For example, the click data from indivedual agate lines of can collecting is used for the possibility of determining that this advertisement is seen by the final user, sees because of deducibility has clicked its user of the advertisement meeting of high selectivity.Also can according to classification go out as shown quantity, advertisement and the webpage of the type of advertisement theme, webpage or website form (usually can be not selected as the advertisement on log in page, if but the website visible part on screen then in sight easily) wait the collected historical data of standardizing.To given webpage, may there be enough selection data to determine reliable result.Therefore, can assemble from the selection historical data of similar webpage and determine prediction the given webpage that is similar to (or belonging to) group of web of describing.As described conception expansion, also can determine the possibility that advertisement is seen by specific objective audient (as the teenager of playing video game).In the time of the assessed value determined advertisement presentation, can consider the probability and possibility that advertisement is seen by the final user.
It is also conceivable that perception preference (as from eye movement follow-up study mechanism).
Can use real data to replace or correction model information (as (as hover, selection etc.) alternately of actual user's mutual (as roll screen, rapid navigation), actual user and the advertisement of, the information that is actually used about browser, actual user and this webpage) is upgraded the predetermined possibility that the particular advertisement release position is observed.For example, if the user selects its browser " rollback " button fast, then deducibility advertisement probability in sight or perception will reduce.As other example, if the user selects this advertisement, then this advertisement of deducibility probability in sight or perception should be 1 or greater than 1.
The adjustment of paying price can be that lasting price adjustment (estimating as multiply by user's perception probability by initial price), ladder advance formula adjustment (originally invisible as advertisement putting point, as then to reduce half) etc.That price adjustment can be used is heuristic (as, then use first to adjust formula if specific factor occurs, otherwise and other factor occurs and then use second formula, otherwise and other factor does not appear then by the par charge).Didactic example can be:
If-this advertisement putting point is at the top of document, then by following charge
-animated advertising that has audio frequency is received valency,
-image ad is received 80%,
-the big font colour advertisement is received 60%, and
-common plain text advertisement is received 50%, and
-otherwise
If-type of webpage has at least 75% the following rate of rolling, then by following charge
-animated advertising that has audio frequency is received 85%,
-image ad is received 70%,
-the big font colour advertisement is received 55%,
-common plain text advertisement is received 40%,
If-this type of webpage has the following rate of rolling between 25% to 75%, then by following charge
Roll rate * (max[1, the heuristic selection rate of this advertisement putting point of 10*]) under-price *, and
If-this type of webpage has 25% or the lower following rate of rolling, charge 10%.
Be appreciated that to also have many possible modes that are consistent with the present invention from above-mentioned example, be used to use user's perception probability factor to come the adjustment expense.
Although many above-mentioned examples relate to probability or the factor relevant with user's perception of advertisement, embodiment according to the invention can use with the advertisement user of any kind and discover probability or the factor that is associated.
§ 4 example of operation
Every impression costs of three advertisements 712,714,716 of how using illustrative methods according to the invention to be adjusted to provide on the webpage 710 is provided Fig. 7 A to Fig. 7 C.Suppose the baseline price that whenever manifests (or price in full) the Shi $0.40 on webpage 710.
Especially, supposing that the webpage 710 with three advertisement putting points 712,714,716 is loaded on the browser and by the user observes.Referring to Fig. 7 A, suppose that the user only sees the part (as because factors such as the resolution of User Monitor, the length of webpage, employed browsers) of webpage 710 in window 720 at first.Attention window 720 comprises up-down scroll bar 722 and left-right scroll bar 724.Therefore, decidable advertisement 712 is easy to be seen or perception by the user, is rendered on the initial visible part of webpage 710 because of this advertisement.In this example, system will collect in full to the price of paying in the advertisement presentation of advertisement putting point 1 (712).Therefore, to the expense Shi $0.40 (may be subjected to the influence of other price adjustments) of the advertisement presentation of advertisement putting point 1 (712).
On the other hand, originally therefore advertisement putting point 2 (714) and the part of advertisement putting point 2 (716) outside the window 720 of webpage 710 are invisible.Shown in Fig. 7 B, the user can use control strip to roll for 722 times.As seen the reposition of window 720 becomes the advertisement putting point 2 (714) on the webpage 710.Suppose according to the style of using statistical research, webpage 710 and 2 (714) viewed times of employed browser deducibility advertisement putting point and estimate it is 65% of 1 (712) the viewed time of advertisement putting point.In this example, for the expense Ke Tiaozhengwei $0.26 (=$0.40*65%) (may be subjected to the influence of other price adjustments) of the advertisement presentation of advertisement putting point 2 (714).Note, because advertisement putting point 3 (716) is still outside window 720, so it still is sightless.
Shown in Fig. 7 C, the user can use control strip 724 to carry out the right side and roll.As seen the reposition of window 720 becomes the advertisement putting point 3 (716) on the webpage 710.Suppose according to the style of using statistical research, webpage 710 and 3 (716) viewed times of employed browser deducibility advertisement putting point and estimate it is 20% of 1 (712) the viewed time of advertisement putting point.In this example, for the expense Ke Tiaozhengwei $0.08 (=$0.40*20%) (may be subjected to the influence of other price adjustments) of the advertisement presentation of advertisement putting point 3 (716).
Nature also can use other factors to determine that the user watches the possibility of each advertisement putting point.In above-mentioned example,, the paying price of the advertisement presentation on the advertisement putting point 2 and 3 (714,716) is collected not according in full because advertisement putting point 2 and 3 (714,716) is rendered on the initial invisible part of webpage 710.Therefore, system considers that the possibility that the advertisement on advertisement putting point 2 and 3 (714,716) is seen by the user to charge by discounted price.
Although do not illustrate, the descried predetermined possibility of particular advertisement release position can use actual user interactions to upgrade.Therefore, for example, if roll webpage 710 under the user, shown in Fig. 7 B, the number percent that is associated with advertisement putting point 2 (714) can from 65% to 90% growth.As other example, if the user selects the advertisement on the advertisement putting point 3 (716), the number percent that is associated with advertisement putting point 3 (716) can from 20% to 100% growth.
§ 5 conclusions
Be appreciated that from above-mentioned embodiment according to the invention can be used for improving the price of advertisement presentation.This embodiment can will be seen by the user or the possibility of perception or use one or more user's perception probability factor re-set prices to realize this purpose by using advertisement.This makes the macroreticular website with various advertisement putting points to sell advertisement by every impression prices, and do not need the advertiser to pay full price to the lower position of those perceived possibilities, do not need to hold consultation respectively yet and/or different advertisement putting points or advertisement putting vertex type are specified every impression prices.

Claims (30)

1. computer implemented method comprises:
A) receive at least one factor, the correlation of advertisement presentation and document can be based on described at least one factor; And
B) utilize described at least one factor to adjust paying price to described advertisement presentation.
2. computer implemented method as claimed in claim 1, the action of wherein using at least one factor to adjust the paying price of described advertisement presentation comprises:
I) correlation of determining advertisement presentation is estimated, and
Ii) utilize described estimation to adjust paying price to described advertisement presentation.
3. computer implemented method as claimed in claim 2, the correlation of wherein said advertisement presentation are whether this advertisement will be by the indication of user's perception.
4. computer implemented method as claimed in claim 1, wherein said at least one factor comprise following at least one:
A) represent the position of this advertisement in the document,
B) whether this advertisement is rendered on the initial visible part that is represented document,
C) represent the value of form of the document of this advertisement,
D) probability of browser rolling,
E) history of advertisement selection,
F) history of mouse slip,
G) wait to represent the browser type of this advertisement,
H) absolute dimension of this advertisement,
I) relative size of this advertisement,
J) type of this advertisement,
K) form of this advertisement,
L) relation of content in this advertisement and the document is watched this advertisement by the document,
M) enquiry data,
N) focal group's data, and
O) reading rate data.
5. computer implemented method as claimed in claim 1, wherein said at least one factor comprises advertising message.
6. computer implemented method as claimed in claim 5, wherein said advertising message comprise following at least one: (A) whether this advertisement is the plain text advertisement, (B) whether this advertisement comprises animation, (C) whether this advertisement comprises audio frequency, (E) whether this advertisement comprises video, (F) whether this advertisement comprises image, (G) size of this advertisement, (H) font size of this advertisement Chinese version, (I) color of this advertisement, (J) the selection information that is associated with this advertisement, and the selection information that (K) is associated with the affiliated adline of this advertisement.
7. computer implemented method as claimed in claim 1, wherein said at least one factor comprises customer equipment information.
8. computer implemented method as claimed in claim 7, wherein said customer equipment information comprise following at least one: (A) the employed browser type of this customer equipment, (B) the employed browser version of this customer equipment, (C) screen size of this customer equipment, (D) display resolution of this customer equipment, (E) the set speaker volume of this customer equipment, (F) this customer equipment whether selected quiet, and (G) user input apparatus of this customer equipment.
9. computer implemented method as claimed in claim 7, wherein said customer equipment information is inferred according to market share information.
10. computer implemented method as claimed in claim 7, wherein said customer equipment information is inferred according to investigation information.
11. computer implemented method as claimed in claim 7, wherein said advertisement represents on document, and
The action of wherein using at least one factor to adjust the paying price of described advertisement presentation comprises:
I) determine that by following actions the correlation of advertisement presentation estimates,
A) to each of one or more web browsers and one or more screen resolutions,
1) engine that represents by this web browser and this screen resolution represents the document, and
2) judge whether advertisement is displayed on the initial screen top of the document, and
B) described estimation is determined in the one or more judgements that whether are displayed on the initial screen top of the document according to advertisement, and
Ii) use described estimation to adjust paying price to described advertisement presentation.
12. computer implemented method as claimed in claim 1, wherein said at least one factor comprise the relevant information of waiting to show the document of described advertisement.
13. computer implemented method as claimed in claim 12, wherein said document information comprise following at least one: Doctype, document size, the dimension information of the Doctype under the document, the document age, the advertisement putting space of points is to the ratio in document content space, the advertisement putting space of points is to the ratio of the content space of the Doctype under the document, the residence time of user in the past of the document, the residence time of user in the past of the Doctype under the document, the user rolled to the document in the past, the user was to the rolling of Doctype under the document in the past, advertisement mutual on user and the document in the past, in the past under user and the document the advertisement on the Doctype alternately.
14. computer implemented method as claimed in claim 12, wherein said document information comprises Doctype, and
The action that at least one factor of wherein said use is adjusted the paying price of described advertisement presentation comprises:
I) determine that by following actions the correlation of advertisement presentation estimates:
A) receive the user interaction model that is associated with the document type, and
B) use this user interaction model to determine described estimation, and
Ii) utilize described estimation to adjust paying price to described advertisement presentation.
15. computer implemented method as claimed in claim 14, the user interaction model that wherein said and described Doctype is associated comprise whether influence advertisement putting point becomes visible user action.
16. computer implemented method as claimed in claim 14, the user interaction model that wherein said and described Doctype is associated comprises user's roll screen information.
17. computer implemented method as claimed in claim 16, wherein said user's roll screen information comprise following at least one: (A) the roll screen data of from the user's that uses special browser sampling, collecting, and the roll screen data of (B) from the user's that uses Javascript sampling, collecting.
18. computer implemented method as claimed in claim 1, wherein said at least one factor comprises document type information, and wherein said document type information comprises whether the document belongs to one of the following: (A) business to business document, (B) special industry document, (C) business to consumer's document, (D) online retailer's document, (E) network diary document, (F) daily record document, (G) browser document, (H) media player document, (I) chat document, (J) forum document, (K) city guide document, (L) local information, (M) Fen Lei entry document, (N) catalogue document, (O) reference documents, (P) field channel document (Q) is downloaded document, (R) set of links document, (S) zealot's document, (T) proposition community document, (U) expert's web site document, (V) FAQ document, (W) technical information document, (X) interactive game document, (Y) homepage document, (Z) landing page document, (AA) image set document, (BB) login document, (CC) site information document, (DD) news content document, (EE) niche door document, (FF) online magazine document, (GG) individual document, (HH) door document, (II) ISP document, (JJ) product summary document, (KK) consumer information document, (LL) Rich Media's document, (MM) searching documents, (NN) search result document, (OO) community network document, and (PP) rubbish document.
19. computer implemented method as claimed in claim 1, wherein said at least one factor comprises the advertisement putting dot information.
20. computer implemented method as claimed in claim 19, wherein said advertisement putting dot information comprise following at least one: (A) absolute position of advertisement putting point, (B) relative position of advertisement putting point, (C) press the selection information of release position, (D) press the mouse slip information of release position, and the mouse-over information of (E) pressing release position.
21. computer implemented method as claimed in claim 19, wherein said advertisement putting dot information comprises advertisement or the advertisement putting point relation with respect to the content on the document that represents this advertisement, described relation comprise following one of at least: (A) whether adjacent ground connection with this content is showed this advertisement, (B) whether show this advertisement at intervals with this content, (C) whether this advertisement is embedded in this content, (D) it is unclear that whether this advertisement partly makes this content, (E) it is unclear that whether this advertisement makes this content fully, (F) whether this advertisement partly covers this content, (G) whether this advertisement covers this content fully, (H) it is unclear that whether this advertisement partly makes other advertisements, (I) it is unclear that whether this advertisement makes other advertisements fully, (J) whether part is covered other advertisements in this advertisement, (K) whether this advertisement covers other advertisements fully, (L) it is unclear that whether this content partly makes this advertisement, (M) it is unclear that whether this content makes this advertisement fully, (N) whether part is covered this advertisement to this content, (O) whether this content covers this advertisement fully, (P) whether make this advertisement unclear other advertisement parts, (Q) whether other advertisements make this advertisement unclear fully, (R) whether other advertisement parts cover this advertisement, and (S) whether this advertisement is covered in other advertisements fully.
22. computer implemented method as claimed in claim 1 was wherein determined described at least one factor before the manifesting of described advertisement.
23. computer implemented method as claimed in claim 22 is wherein upgraded described at least one factor after the manifesting of described advertisement.
24. computer implemented method as claimed in claim 1 was wherein determined described at least one factor before the manifesting of described advertisement.
25. computer implemented method as claimed in claim 1, wherein said paying price is defined by the advertiser.
26. computer implemented method as claimed in claim 1, wherein said paying price is associated with the set that comprises one or more service constraints, and the set of wherein said service constraints is not used in other paying prices of this advertisement presentation.
27. computer implemented method as claimed in claim 1, wherein said at least one factor comprises user profile.
28. computer implemented method as claimed in claim 27, wherein said user profile comprise following at least one: (A) user's mouse-over information, (B) user advertising click information, (C) user's information residence time, (D) user's roll screen information, (E) eyes of user mobile message, and reading rate data.
29. computer implemented method as claimed in claim 1, wherein said at least one factor comprises at least one in enquiry data and the focal group's data.
30. an equipment comprises:
A) be used to receive advertisement presentation and document correlation may based on the device of at least one factor, and
B) be used to utilize the device of described at least one factor adjustment to the paying price of described advertisement presentation.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102414707A (en) * 2009-04-30 2012-04-11 僖迪网络科技株式会社 Method and apparatus for providing multiple online advertisements using location information of scroll bar
CN102663617A (en) * 2012-03-20 2012-09-12 亿赞普(北京)科技有限公司 Method and system for prediction of advertisement clicking rate
CN102799998A (en) * 2012-06-30 2012-11-28 精实万维软件(北京)有限公司 Method and device for charging advertisement information in webpage
CN104050585A (en) * 2013-03-14 2014-09-17 优米有限公司 Proxy Channels for Viewing Audiences
CN105190667A (en) * 2013-05-07 2015-12-23 谷歌公司 Channel-level advertising attributes in an internet-based content platform
CN107534849A (en) * 2015-07-24 2018-01-02 谷歌有限责任公司 System and method for personalized common equipment
CN107798563A (en) * 2017-11-09 2018-03-13 山东师范大学 Internet advertising effect assessment method and system based on multi-modal feature
CN108171545A (en) * 2017-12-27 2018-06-15 银橙(上海)信息技术有限公司 A kind of conversion ratio predictor method based on level of hierarchy data
CN108270644A (en) * 2017-12-15 2018-07-10 海南智媒云图科技股份有限公司 Based on multi-platform page flow monitoring method, electronic equipment and storage medium

Families Citing this family (99)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8670319B2 (en) * 2005-09-19 2014-03-11 Google, Inc. Traffic prediction for web sites
US8271865B1 (en) 2005-09-19 2012-09-18 Google Inc. Detection and utilization of document reading speed
US20070088720A1 (en) * 2005-10-17 2007-04-19 Siemens Aktiengesellschaft Method for detecting discrepancies between a user's perception of web sites and an author's intention of these web sites
US20100153836A1 (en) * 2008-12-16 2010-06-17 Rich Media Club, Llc Content rendering control system and method
US11004090B2 (en) 2005-12-24 2021-05-11 Rich Media Club, Llc System and method for creation, distribution and tracking of advertising via electronic networks
US11468453B2 (en) 2005-12-24 2022-10-11 Rich Media Club, Llc System and method for creation, distribution and tracking of advertising via electronic networks
US8417568B2 (en) * 2006-02-15 2013-04-09 Microsoft Corporation Generation of contextual image-containing advertisements
US8086699B2 (en) * 2006-07-28 2011-12-27 Christopher David L Local directory network
US9053492B1 (en) 2006-10-19 2015-06-09 Google Inc. Calculating flight plans for reservation-based ad serving
US20080147488A1 (en) * 2006-10-20 2008-06-19 Tunick James A System and method for monitoring viewer attention with respect to a display and determining associated charges
US20080189608A1 (en) * 2007-01-31 2008-08-07 Nokia Corporation Method and apparatus for identifying reviewed portions of documents
US20080195461A1 (en) * 2007-02-13 2008-08-14 Sbc Knowledge Ventures L.P. System and method for host web site profiling
US7853969B2 (en) * 2007-04-03 2010-12-14 Google Inc. Log processing to determine impression values using reliable durations
WO2008124537A1 (en) * 2007-04-03 2008-10-16 Google Inc. Reconciling forecast data with measured data
US20080249834A1 (en) * 2007-04-03 2008-10-09 Google Inc. Adjusting for Uncertainty in Advertisement Impression Data
US20080249832A1 (en) * 2007-04-04 2008-10-09 Microsoft Corporation Estimating expected performance of advertisements
WO2009029940A1 (en) * 2007-08-30 2009-03-05 Channel Intelligence, Inc. Online marketing payment monitoring method and system
US20090106086A1 (en) * 2007-09-21 2009-04-23 John Morgan Systems and Methods for Planning, Estimating and Billing Advertising Impressions
US20110010448A1 (en) * 2007-10-22 2011-01-13 Gill Paramjit S Leveraging and influencing computing network activity
US8160923B2 (en) * 2007-11-05 2012-04-17 Google Inc. Video advertisements
KR100986434B1 (en) * 2007-12-14 2010-10-08 엔에이치엔비즈니스플랫폼 주식회사 Method for providing keyword advertisement based on user conversion and system for executing the method
US8402025B2 (en) * 2007-12-19 2013-03-19 Google Inc. Video quality measures
KR100907613B1 (en) * 2007-12-26 2009-07-14 에스케이 텔레콤주식회사 Content providing server, system and method for providing additional content
US8165890B2 (en) 2007-12-31 2012-04-24 Roberts Charles E S Green rating system and associated marketing methods
US8165891B2 (en) 2007-12-31 2012-04-24 Roberts Charles E S Green rating system and associated marketing methods
US20090177537A1 (en) * 2008-01-07 2009-07-09 Google Inc. Video advertisement pricing
CN102132299A (en) * 2008-01-18 2011-07-20 半径创新有限责任公司 Method and apparatus for delivering targeted content
US8386398B1 (en) * 2008-05-21 2013-02-26 Google Inc. Campaign goal pricing
US8150734B2 (en) * 2008-06-24 2012-04-03 Microsoft Corporation Estimating advertising prices for an incumbent content provider
US8135616B2 (en) 2008-06-26 2012-03-13 Microsoft Corporation Browsing and quality of service features
US20100010890A1 (en) * 2008-06-30 2010-01-14 Eyeblaster, Ltd. Method and System for Measuring Advertisement Dwell Time
US20100070339A1 (en) * 2008-09-15 2010-03-18 Google Inc. Associating an Entity with a Category
US9009154B2 (en) * 2008-10-01 2015-04-14 Google Inc. Evaluating presentation of advertisments with regard to ranking order
US20100114706A1 (en) * 2008-11-04 2010-05-06 Nokia Corporation Linked Hierarchical Advertisements
WO2010053981A2 (en) * 2008-11-05 2010-05-14 Eric Bosco Systems and methods for adverrtising on content-screened web pages
US8209715B2 (en) * 2008-11-14 2012-06-26 Google Inc. Video play through rates
US8886636B2 (en) * 2008-12-23 2014-11-11 Yahoo! Inc. Context transfer in search advertising
US8255949B1 (en) 2009-01-07 2012-08-28 Google Inc. Television program targeting for advertising
US20100217647A1 (en) * 2009-02-20 2010-08-26 Philip Clifford Jacobs Determining share of voice
US20100262499A1 (en) * 2009-04-10 2010-10-14 Platform-A, Inc. Systems and methods for controlling initialization of advertising campaigns
US20100262497A1 (en) * 2009-04-10 2010-10-14 Niklas Karlsson Systems and methods for controlling bidding for online advertising campaigns
US20100306054A1 (en) * 2009-05-28 2010-12-02 Drake Robert A Method and apparatus for generating advertisements
US20110166927A1 (en) * 2010-01-07 2011-07-07 Yahoo! Inc. Dynamic Pricing Model For Online Advertising
US20110197220A1 (en) 2010-02-09 2011-08-11 Google Inc. Customized television advertising
KR101151726B1 (en) * 2010-04-07 2012-06-15 (주)월드게이트 System and method for intermediating on-line advertisement
US10957002B2 (en) 2010-08-06 2021-03-23 Google Llc Sequence dependent or location based operation processing of protocol based data message transmissions
US10013978B1 (en) 2016-12-30 2018-07-03 Google Llc Sequence dependent operation processing of packet based data message transmissions
US20120203592A1 (en) * 2011-02-08 2012-08-09 Balaji Ravindran Methods, apparatus, and articles of manufacture to determine search engine market share
US9015141B2 (en) 2011-02-08 2015-04-21 The Nielsen Company (Us), Llc Methods, apparatus, and articles of manufacture to measure search results
US20140040020A1 (en) * 2011-06-27 2014-02-06 Rocket Fuel, Inc. Measuring effect of impressions on social media networks
US8694413B1 (en) * 2011-09-29 2014-04-08 Morgan Stanley & Co. Llc Computer-based systems and methods for determining interest levels of consumers in research work product produced by a research department
US20130139194A1 (en) * 2011-11-30 2013-05-30 Sling Media, Inc. Systems and methods to determine expected viewership of future television broadcasts using recording timer data
US9762428B2 (en) * 2012-01-11 2017-09-12 Bazaarvoice, Inc. Identifying and assigning metrics to influential user generated content
US20130185127A1 (en) * 2012-01-17 2013-07-18 Martin Rödén Systems and Methods for Advertising
US11599907B2 (en) 2012-05-14 2023-03-07 Iqzone, Inc. Displaying media content on portable devices based upon user interface state transitions
US11663628B2 (en) 2012-05-14 2023-05-30 Iqzone, Inc. Systems and methods for unobtrusively displaying media content on portable devices
US8924252B2 (en) 2012-05-14 2014-12-30 Iqzone, Inc. Systems and methods for providing timely advertising to portable devices
US10607250B2 (en) 2012-06-04 2020-03-31 Facebook, Inc. Advertisement selection and pricing using discounts based on placement
US10614801B2 (en) 2012-06-25 2020-04-07 Google Llc Protocol based computer network exposure interval content item transmission
US9767479B2 (en) 2012-06-25 2017-09-19 Google Inc. System and method for deploying ads based on a content exposure interval
US9870344B2 (en) 2012-10-02 2018-01-16 Google Inc. Reassigning ordinal positions of content item slots according to viewport information during resource navigation
US8965880B2 (en) * 2012-10-05 2015-02-24 Google Inc. Transcoding and serving resources
US10713846B2 (en) 2012-10-05 2020-07-14 Elwha Llc Systems and methods for sharing augmentation data
US10180715B2 (en) * 2012-10-05 2019-01-15 Elwha Llc Correlating user reaction with at least an aspect associated with an augmentation of an augmented view
US10269179B2 (en) 2012-10-05 2019-04-23 Elwha Llc Displaying second augmentations that are based on registered first augmentations
US10417658B1 (en) * 2012-11-19 2019-09-17 Integral Ad Science, Inc. Methods, systems, and media for managing online advertising campaigns based on causal conversion metrics
US10402853B1 (en) * 2012-11-19 2019-09-03 Integral Ad Science, Inc. Methods, systems, and media for managing online advertising campaigns based on causal conversion metrics
US9265458B2 (en) 2012-12-04 2016-02-23 Sync-Think, Inc. Application of smooth pursuit cognitive testing paradigms to clinical drug development
US11068931B1 (en) 2012-12-10 2021-07-20 Integral Ad Science, Inc. Systems, methods, and media for detecting content viewability
US10282757B1 (en) * 2013-02-08 2019-05-07 A9.Com, Inc. Targeted ad buys via managed relationships
US9380976B2 (en) 2013-03-11 2016-07-05 Sync-Think, Inc. Optical neuroinformatics
US9639964B2 (en) 2013-03-15 2017-05-02 Elwha Llc Dynamically preserving scene elements in augmented reality systems
US9524509B2 (en) * 2013-03-28 2016-12-20 Yahoo! Inc. Client side browser notification
US9626691B2 (en) * 2013-05-02 2017-04-18 Google Inc. Determining a bid modifier value to maximize a return on investment in a hybrid campaign
US10311486B1 (en) 2013-05-13 2019-06-04 Oath (Americas) Inc. Computer-implemented systems and methods for response curve estimation
US10467657B2 (en) * 2013-06-11 2019-11-05 Facebook, Inc. View-based pricing of advertisements in scrollable advertisement units
CA2912424A1 (en) * 2013-06-11 2014-12-18 Facebook, Inc. View-based pricing of advertisements in scrollable advertisement units
US10475085B2 (en) * 2013-06-11 2019-11-12 Facebook, Inc. View-based placement of advertisements in scrollable advertisement units
US11218434B2 (en) 2013-06-12 2022-01-04 Google Llc Audio data packet status determination
US10108977B2 (en) 2013-08-23 2018-10-23 Oath Inc. Dwell time based advertising in a scrollable content stream
US20150058113A1 (en) * 2013-08-23 2015-02-26 Yahoo! Inc. Dwell time based advertising
US9489692B1 (en) 2013-10-16 2016-11-08 Google Inc. Location-based bid modifiers
US20140297430A1 (en) * 2013-10-31 2014-10-02 Reach Labs, Inc. System and method for facilitating the distribution of electronically published promotions in a linked and embedded database
US10614491B2 (en) 2013-11-06 2020-04-07 Google Llc Content rate display adjustment between different categories of online documents in a computer network environment
US9449231B2 (en) 2013-11-13 2016-09-20 Aol Advertising Inc. Computerized systems and methods for generating models for identifying thumbnail images to promote videos
US10134053B2 (en) * 2013-11-19 2018-11-20 Excalibur Ip, Llc User engagement-based contextually-dependent automated pricing for non-guaranteed delivery
US9426192B2 (en) 2014-01-02 2016-08-23 International Business Machines Corporation Predicting viewing activity of a posting to an activity stream
US11928711B1 (en) * 2014-10-24 2024-03-12 Integral Ad Science, Inc. Methods, systems, and media for setting and using an advertisement frequency cap based on causal conversions
CN105681897B (en) * 2014-11-17 2019-04-16 Tcl集团股份有限公司 A kind of commercial detection method and system
US11205199B2 (en) * 2014-12-22 2021-12-21 Vungle, Inc. Systems and methods for providing programmatic creation and modification of advertising campaigns
US11216839B2 (en) * 2014-12-22 2022-01-04 Vungle, Inc. Systems and methods for advanced programmatic advertising targeting
CN105162822A (en) * 2015-06-30 2015-12-16 浪潮(北京)电子信息产业有限公司 Website log data processing method and device
CN105744307A (en) * 2016-03-31 2016-07-06 深圳市茁壮网络股份有限公司 Advertising management method and platform
CN107563804A (en) * 2017-08-24 2018-01-09 北京奇艺世纪科技有限公司 A kind of method and apparatus for predicting the number of users covered under advertisement stereotactic conditions
GB201713817D0 (en) * 2017-08-29 2017-10-11 Factmata Ltd Fact checking
KR102092840B1 (en) * 2019-08-12 2020-03-24 박옥생 Method for providing creative work trading service expanding assetization and accessibility of creative work
US11736776B2 (en) 2019-10-25 2023-08-22 Iqzone, Inc. Monitoring operating system methods to facilitate unobtrusive display of media content on portable devices
US20210342893A1 (en) * 2020-04-29 2021-11-04 Huseby, Inc. System and Method for Shifting Transcript Costs from a Content Supplier to an Advertiser
US20230325873A1 (en) * 2022-04-12 2023-10-12 Yandex Europe Ag Method and system for training a machine learning algorithm to predict a visibility score

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5724521A (en) * 1994-11-03 1998-03-03 Intel Corporation Method and apparatus for providing electronic advertisements to end users in a consumer best-fit pricing manner
US5740549A (en) * 1995-06-12 1998-04-14 Pointcast, Inc. Information and advertising distribution system and method
US6026368A (en) * 1995-07-17 2000-02-15 24/7 Media, Inc. On-line interactive system and method for providing content and advertising information to a targeted set of viewers
US5848397A (en) * 1996-04-19 1998-12-08 Juno Online Services, L.P. Method and apparatus for scheduling the presentation of messages to computer users
US6078914A (en) * 1996-12-09 2000-06-20 Open Text Corporation Natural language meta-search system and method
US6285987B1 (en) * 1997-01-22 2001-09-04 Engage, Inc. Internet advertising system
US6044376A (en) * 1997-04-24 2000-03-28 Imgis, Inc. Content stream analysis
US6144944A (en) * 1997-04-24 2000-11-07 Imgis, Inc. Computer system for efficiently selecting and providing information
AU8072798A (en) * 1997-06-16 1999-01-04 Doubleclick Inc. Method and apparatus for automatic placement of advertising
US6167382A (en) * 1998-06-01 2000-12-26 F.A.C. Services Group, L.P. Design and production of print advertising and commercial display materials over the Internet
US6985882B1 (en) * 1999-02-05 2006-01-10 Directrep, Llc Method and system for selling and purchasing media advertising over a distributed communication network
US6907566B1 (en) * 1999-04-02 2005-06-14 Overture Services, Inc. Method and system for optimum placement of advertisements on a webpage
US6269361B1 (en) * 1999-05-28 2001-07-31 Goto.Com System and method for influencing a position on a search result list generated by a computer network search engine
US20060229930A9 (en) * 1999-11-15 2006-10-12 Gottfurcht Elliot A Method to generate advertising revenue based on time and location
US6401075B1 (en) * 2000-02-14 2002-06-04 Global Network, Inc. Methods of placing, purchasing and monitoring internet advertising
US20020103698A1 (en) * 2000-10-31 2002-08-01 Christian Cantrell System and method for enabling user control of online advertising campaigns
US7502994B2 (en) * 2001-02-05 2009-03-10 Omniture, Inc. Web page link-tracking system
US6826572B2 (en) * 2001-11-13 2004-11-30 Overture Services, Inc. System and method allowing advertisers to manage search listings in a pay for placement search system using grouping
US20030220866A1 (en) * 2001-12-28 2003-11-27 Findwhat.Com System and method for pay for performand advertising in general media
US7680796B2 (en) * 2003-09-03 2010-03-16 Google, Inc. Determining and/or using location information in an ad system
US7136875B2 (en) * 2002-09-24 2006-11-14 Google, Inc. Serving advertisements based on content
WO2003093945A2 (en) * 2002-05-03 2003-11-13 Realhome.Com Method and system of optimizing the response and profitability of a marketing program
US20050060227A1 (en) * 2003-09-11 2005-03-17 Nelson Robert W. Advertising system
US7689458B2 (en) * 2004-10-29 2010-03-30 Microsoft Corporation Systems and methods for determining bid value for content items to be placed on a rendered page

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102414707A (en) * 2009-04-30 2012-04-11 僖迪网络科技株式会社 Method and apparatus for providing multiple online advertisements using location information of scroll bar
CN102663617A (en) * 2012-03-20 2012-09-12 亿赞普(北京)科技有限公司 Method and system for prediction of advertisement clicking rate
CN102799998A (en) * 2012-06-30 2012-11-28 精实万维软件(北京)有限公司 Method and device for charging advertisement information in webpage
CN104050585A (en) * 2013-03-14 2014-09-17 优米有限公司 Proxy Channels for Viewing Audiences
CN105190667A (en) * 2013-05-07 2015-12-23 谷歌公司 Channel-level advertising attributes in an internet-based content platform
CN107534849A (en) * 2015-07-24 2018-01-02 谷歌有限责任公司 System and method for personalized common equipment
CN107798563A (en) * 2017-11-09 2018-03-13 山东师范大学 Internet advertising effect assessment method and system based on multi-modal feature
CN107798563B (en) * 2017-11-09 2020-05-05 山东师范大学 Internet advertisement effect evaluation method and system based on multi-mode characteristics
CN108270644A (en) * 2017-12-15 2018-07-10 海南智媒云图科技股份有限公司 Based on multi-platform page flow monitoring method, electronic equipment and storage medium
CN108270644B (en) * 2017-12-15 2020-11-24 广东智媒云图科技股份有限公司 Page flow monitoring method based on multiple platforms, electronic equipment and storage medium
CN108171545A (en) * 2017-12-27 2018-06-15 银橙(上海)信息技术有限公司 A kind of conversion ratio predictor method based on level of hierarchy data

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